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  2. Bayes factor - Wikipedia

    en.wikipedia.org/wiki/Bayes_factor

    The Bayes factor is a ratio of two competing statistical models represented by their evidence, and is used to quantify the support for one model over the other. [1] The models in question can have a common set of parameters, such as a null hypothesis and an alternative, but this is not necessary; for instance, it could also be a non-linear model compared to its linear approximation.

  3. Hierarchy of evidence - Wikipedia

    en.wikipedia.org/wiki/Hierarchy_of_evidence

    [5]: 313 In 1997, Greenhalgh suggested it was "the relative weight carried by the different types of primary study when making decisions about clinical interventions". [6] The National Cancer Institute defines levels of evidence as "a ranking system used to describe the strength of the results measured in a clinical trial or

  4. Strength of evidence - Wikipedia

    en.wikipedia.org/wiki/Strength_of_evidence

    In biostatistics, strength of evidence is the strength of a conducted study that can be assessed in health care interventions, ... Statistics; Cookie statement;

  5. Likelihood function - Wikipedia

    en.wikipedia.org/wiki/Likelihood_function

    In Bayesian statistics, ... this process can be interpreted as "support from independent evidence adds", and the log-likelihood is the "weight of evidence".

  6. Measuring the weight of statistics, losses and legacy in ...

    www.aol.com/sports/measuring-weight-statistics...

    Naming James to an All-NBA team this season would be an embrace of statistics and credentials in a way that betrays winning contributions and the very reasoning many have used to exclude players ...

  7. Statistical proof - Wikipedia

    en.wikipedia.org/wiki/Statistical_proof

    Bayesian statistics are based on a different philosophical approach for proof of inference.The mathematical formula for Bayes's theorem is: [|] = [|] [] []The formula is read as the probability of the parameter (or hypothesis =h, as used in the notation on axioms) “given” the data (or empirical observation), where the horizontal bar refers to "given".

  8. Forensic statistics - Wikipedia

    en.wikipedia.org/wiki/Forensic_statistics

    Forensic statistics is the application of probability models and statistical techniques to scientific evidence, such as DNA evidence, [1] and the law. In contrast to "everyday" statistics, to not engender bias or unduly draw conclusions, forensic statisticians report likelihoods as likelihood ratios (LR).

  9. Weighting - Wikipedia

    en.wikipedia.org/wiki/Weighting

    This article may lend undue weight to certain ideas, incidents, or controversies. Please help improve it by rewriting it in a balanced fashion that contextualizes different points of view. ( March 2021 ) ( Learn how and when to remove this message )